Analytics Vidhya

JUNE 29, 2022

Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October). What is Apache Hive? Introduced to […].

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IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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Data Quality Metadata ETL Big Data 130

deepsense.ai

MAY 8, 2023

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

Data Analysis 52

Data Analysis Big Data Data Platform Business Intelligence 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. It offers several advantages for handling big data effectively.

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala.

Data Science 219

Data Science Data Scientist Machine Learning Data Mining 219

Flipboard

APRIL 10, 2023

Most organizations are now well into re-platforming their enterprise data stacks to cloud-first architectures. The shift in data gravity to centralized cloud data platforms brings enormous potential. However, many organizations are still struggling to deliver value and demonstrate true business …

Data Platform 106

Data Platform Big Data Machine Learning 106

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

Data Science 52

Data Science Data Scientist Big Data Machine Learning 52

Flipboard

JUNE 30, 2023

Over the past several months we’ve produced a number of in-depth analyses laying out our mental model for the future of data platforms. There are two …

Data Platform 85

Data Platform Big Data Machine Learning 85

ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other big data solutions currently available.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of big data and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

NLP 52

NLP Data Science Machine Learning Data Analysis 52

ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. Integrating software that can automatically categorize or process could solve the issue of being overwhelmed by information. It also can ensure they retain quality details since they don’t have to limit how much they collect.

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Categorization Data Science Machine Learning Big Data 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

He has worked on building enterprise-grade applications, building data platforms in multiple organizations and reporting platforms to streamline decisions backed by data. Nanda has over 18 years of experience working in Java/J2EE, Spring technologies, and big data frameworks using Hadoop and Apache Spark.

Computer Vision 104

Computer Vision Convolutional Neural Networks AI AI 104

IBM Journey to AI blog

JULY 7, 2023

Secure databases in the physical data center, big data platforms and the cloud. Don’t throw your private data away with your machines. In addition to setting up corporate security policies, ensure your employees understand what they are and how to follow them. Dispose of old computers and records securely.

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Automation Categorization Big Data Data Platform 100

AWS Machine Learning Blog

DECEMBER 7, 2023

Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration.

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Convolutional Neural Networks Algorithm Neural Network Machine Learning 104

AI News

JUNE 22, 2023

Experts from IBM iX and The All England Club worked together to train the AI using foundation models from IBM’s enterprise AI and data platform, watsonx. Photo by Ariv Gupta on Unsplash ) Want to learn more about AI and big data from industry leaders? The event is co-located with Digital Transformation Week.

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Big Data Data Platform AI AI 276

AI News

SEPTEMBER 26, 2023

HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers. AN: What will Twilio be sharing with the audience at this year’s AI & Big Data Expo Europe?

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Pickl AI

APRIL 26, 2024

I would first perform exploratory data analysis to understand the data distribution and identify potential patterns or insights. Then, I would use sampling techniques or employ big data processing tools like Apache Spark to analyse the large dataset efficiently.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

The MLOps Blog

MARCH 15, 2023

Dagster Supports end-to-end data management lifecycle. Its software-defined assets (announced through Rebundling the Data Platform ) and built-in lineage make it an appealing tool for developers. Seamless integration with many data sources and destinations. Uses secure protocols for data security.

ETL 59

ETL Categorization Automation Data Integration 59

John Snow Labs

FEBRUARY 29, 2024

Investment in the right technology infrastructure is crucial, including computing resources capable of processing big data, and securing access to AI models and tools that are tailored for healthcare applications. Healthcare data is sensitive, and its handling must comply with strict regulations like HIPAA in the United States.

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IBM Journey to AI blog

OCTOBER 4, 2023

And AI, both supervised and unsupervised machine learning, is often the best or sometimes only way to unlock these new big data insights at scale. How does an open data lakehouse architecture support AI?

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Metadata AI Strategy AI AI 222

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

AWS Machine Learning Blog

AUGUST 3, 2023

Aamna Najmi is a Data Scientist with AWS Professional Services. She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. In her spare time, she enjoys gardening and traveling to new places.

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Computer Vision Data Scientist ML Deep Learning 64

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Artificial Corner

JUNE 6, 2023

With a single shake of their staff they can command the power of data into magical intelligence never seen before, intelligence that will finally provide the answer to the unanswerable. With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used. This will impact the data realm.

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

IBM Journey to AI blog

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

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ML Data Scientist ML Engineer Data Science 106

AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud.

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Data Extraction Data Ingestion ML Machine Learning 108

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Nicolas Jacob Baer is a Principal Cloud Application Architect at AWS ProServe with a strong focus on data engineering and machine learning, based in Switzerland. He works closely with enterprise customers to design data platforms and build advanced analytics and ML use cases.

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ML DevOps Data Scientist ML Engineer 95

AWS Machine Learning Blog

MAY 15, 2023

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 69

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Machine Learning Data Mining Data Scientist Artificial Intelligence 98

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Bosco Albuquerque is a Sr.

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Marktechpost

JULY 18, 2023

assists e-commerce businesses in creating a 360-degree perspective of their customers, creating a single source of truth for data-driven choices, enhancing consumer insights through improved operational insights, and boosting ROI. It is a pioneer in data integration platforms, supporting understanding and delivering strong business values.

ETL 52

ETL Data Integration Automation Business Intelligence 52

Pickl AI

JUNE 12, 2023

Here are several ways you can leverage Tableau for data science tasks: Data exploration and visualization: Tableau provides you with an intuitive and interactive interface for exploring and visualizing data. Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science ML Engineer 52

IBM Journey to AI blog

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

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